Computer Systems Analyst

Axle • Rockville, MD

1d • $90,000 - $105,000 • Hybrid

About The Position

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Computer Systems Analyst to join our vibrant team at the National Institutes of Health (NIH) supporting the NIA in Baltimore, MD or Rockville, MD.

Requirements

• Experience with modern programming languages and code libraries.
• Experience with machine learning.
• Experience with cross-platform programming.
• Experience with high-performance computing.
• Experience with automating data segmentation and data visualization.
• Experience with developing numerical model simulations.
• Experience with image analysis, including deep convolutional neural networks.
• Experience with detecting and analyzing subcellular signaling events.
• Experience creating specialized computer software to analyze experimental data, including imaging data.
• Experience developing customized software for statistical analysis.
• Technical experience to perform analyses, processing, and user support of various computer systems using standard statistical procedures and techniques.
• Project management guidance and assistance.
• Statistical support to staff, including data analysis and tool generation for researchers.
• Ability to interface with staff to gather project requirements, develop project plans, and help execute plans.
• Support and maintenance of scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment.
• Ability to set up and use various computer systems and software packages.
• Ability to perform statistical analysis of experimental data.
• Ability to determine needs and provide IT support for computerized systems.
• Experience with evolving infrastructure, data engineering pipelines, and data science stacks.
• Ability to compile and manage data and assist with quality control.
• Ability to perform quality assurance and quality control; troubleshoot issues with image analysis and quality.
• Ability to analyze results of collected data and perform statistical analysis using statistical analysis software.
• Ability to prepare data and analysis for presentations and publication.
• Ability to prepare research data for presentation and manuscripts.
• Ability to interface with the statistical programming team to develop programming standards and assist with validation and change control documentation.

Responsibilities

• Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing.
• Develop dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and coed libraries, machine learning, cross-platform programming, and high-performance computing, including: Automating data segmentation and data visualization, Developing numerical model simulations and high-performance computing, Performing generating image analysis, including deep convolutional neural networks, Detecting and analyzing subcellular signaling events.
• Participate in research projects by creating specialized computer software to effective and automatically analyze experimental data, including imaging data generated by different imaging techniques such as high-speed cameras, confocal microscopy, super-resolution SIM imaging, FIB-SEM imaging, MRI imaging as well as data generated by numerical model simulations.
• Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses.
• Provides technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques.
• Provide project management guidance and assistance to specific projects and activities.
• Provide statistical support to staff, including data analysis and the generation tools for researchers to use.
• Interface with staff as needed to gather project requirements, develop project plan with web team, and help execute plan.
• Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment.
• Sets up and uses various computer systems and software packages.
• Perform statistical analysis of experimental data obtained at various time points.
• Determine needs and provide IT support for computerized systems supporting activities.
• Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks.
• Compiles and manages data and assists with quality control.
• Perform quality assurance and quality control; troubleshoot issues with image analysis and quality.
• Analyze results of the data that are collected during experimental studies; perform statistical analysis using statistical analysis software.
• Produces various reports, graphs and figures for presentation.
• Prepare data and analysis for presentations and publication.
• Prepare research data for presentation and manuscripts.
• Interface with the statistical programming team to develop programming standards and assist the team with validation and change control documentation.

Benefits

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed